Using Multivariate Statistics, 7th edition

Published by Pearson (July 14, 2021) © 2022

  • Barbara G. Tabachnick California State University - Northridge
  • Linda S. Fidell California State University - Northridge
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Title overview

For advanced undergraduate and graduate statistics courses.

An in-depth introduction to today's most commonly used statistical and multivariate techniques. Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors' practical approach focuses on the benefits and limitations of applying a technique to a data set - when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output.

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Table of contents

  • Introduction
  • A Guide to Statistical Techniques: Using the Book
  • Review of Univariate and Bivariate Statistics
  • Cleaning Up Your Act: Screening Data Prior to Analysis
  • Multiple Regression
  • Analysis of Covariance
  • Multivariate Analysis of Variance and Covariance
  • Profile Analysis: The Multivariate Approach to Repeated Measures
  • Discriminant Analysis
  • Logistic Regression
  • Survival/Failure Analysis
  • Canonical Correlation
  • Principal Components and Factor Analysis
  • Structural Equation Modeling
  • Multilevel Linear Modeling
  • Multiway Frequency Analysis
  • Time-Series Analysis
  • An Overview of the General Linear Model

Author bios

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